Python Developer

Ethereum Technologies; Wilmington (DE); Vor Ort; USD 120.000 - 170.000; Vollzeit

Zusammenfassung

Ethereum Technologies seeks a skilled Python data engineer to design and optimize data pipelines, leveraging PySpark, Spark SQL and AWS data services to build scalable, reliable data processing solutions in a fast-paced environment.

You will collaborate with ML and DevOps teams, implement CI/CD, and ensure code quality with PyTest. Prior experience with Airflow, Kafka and cloud data warehouses will help accelerate delivery and drive data-driven decisions.

Qualifikationen

• Expertise in Python and data processing.
• Strong PySpark and Spark SQL experience.
• Proficiency with Pandas/Numpy; familiar with Flask or Django.
• Hands-on with Airflow, Kafka, Jenkins, Spinnaker.
• AWS cloud services (S3, EC2, Lambda, ECS, EventBridge).
• CI/CD and DevOps practices for automated deployments.
• Cloud data warehouses like Snowflake/Databricks preferred.
• Exposure to ML frameworks is a plus.
• Familiar with AI tools such as GitHub Copilot and LLMs.

Aufgaben

• Develop and maintain Python data processing pipelines.
• Design scalable, high-performance data solutions on AWS.
• Collaborate with ML and DevOps teams to deploy features.

Kenntnisse

Python

PySpark

Spark SQL

PyTest

Pandas/Numpy

Flask/Django

Airflow

Kafka

Jenkins

Spinnaker

AWS S3/EC2/Lambda/ECS/EventBridge

CI/CD & DevOps

Snowflake/Databricks

ML exposure

GitHub Copilot/LLMs

Tools

Airflow

Kafka

Jenkins

Spinnaker

Snowflake

Databricks

GitHub Copilot

Jobbeschreibung

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

• Expert proficiency in Python programming language with strong coding and problem-solving skills.
• Strong experience in PySpark, including Spark SQL and distributed data processing using Spark APIs.
• Experience in testing and debugging applications using Python testing frameworks such as PyTest, PyUnit, etc.
• In-depth knowledge of Python libraries and frameworks like Pandas, Numpy, Flask, or Django.
• Hands-on experience with data pipeline and orchestration tools such as Airflow, Kafka, Jenkins, and Spinnaker.
• Strong knowledge of designing scalable, reliable, and high-performance applications.
• Experience working with AWS cloud services such as S3, EC2, Lambda, ECS, Event Bridge, etc.
• Experience with CI/CD pipelines and DevOps practices for automated deployments.
• Good to have experience with cloud data warehousing platforms such as Snowflake, Databricks.
• Nice to have exposure to Machine Learning and AI frameworks.
• Familiarity with AI-assisted development tools such as GitHub Copilot and understanding of Large Language Models (LLMs) for improving developer productivity and building intelligent features.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.